Course details

Model Life Cycle Management

Model Life Cycle Management


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description
Analyst must continuously manage analytical models, such as monitoring performance over time and interacting with various stakeholders. Explore the operational decision making stages of model life cycle management.

Target Audience
All individuals who are new to predictive analytics and wish to use it to optimize their business performance; business leaders; analysts; marketing, sales, software, and IT professionals who want to add predictive analytics to their skill set; and decision makers of any kind

Prerequisites
None

Expected Duration (hours)
0.6

Lesson Objectives

Model Life Cycle Management

  • start the course
  • identify key aspects for understanding the business problem and securing the right data
  • recognize best practices for creating and deploying the forecasting model
  • recognize the high-level activities and planning for model deployment
  • identify important aspects of stakeholder management
  • recognize the best practices for training users and developing project documentation
  • recognize the importance of monitoring and recalibrating the forecasting model
  • recognize the importance of business validation and the various types of benchmarks to assess the forecasting model project
  • Course Number:
    df_prma_a17_it_enus

    Expertise Level
    Intermediate